Google Maps▌
by google
Find official MCP servers for Google Maps. Explore resources to build, integrate, and extend apps with Google directions
Discover official and open-source Model Context Protocol (MCP) servers from Google. This project provides an up-to-date directory of MCP servers for Google services like Google Maps. Explore examples and resources that help you build, integrate, and extend intelligent agents using Google's ecosystem of MCP solutions—all designed to streamline context-aware app development and experimentation.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Trip planning and travel applications
- / Geographic data exploration and analysis
- / Building location-aware AI assistants
- / Developers integrating maps with LLMs
capabilities
- / Search for places using natural language queries
- / Calculate routes and travel directions
- / Retrieve elevation data for geographic locations
- / Look up weather information for trip planning
- / Visualize results on interactive 3D maps
- / Ground AI responses with real-world geographic data
what it does
Connects Google Maps Platform APIs to AI models through MCP, enabling natural language queries for places, routes, elevation data, and weather with 3D map visualization.
about
Google Maps is an official MCP server published by google that provides AI assistants with tools and capabilities via the Model Context Protocol. Find official MCP servers for Google Maps. Explore resources to build, integrate, and extend apps with Google directions It is categorized under cloud infrastructure, developer tools.
how to install
You can install Google Maps in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
Apache-2.0
Google Maps is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Find official MCP servers for Google Maps. Explore resources to build, integrate, and extend apps with Google directions
TL;DR: Connects Google Maps Platform APIs to AI models through MCP, enabling natural language queries for places, routes, elevation data, and weather with 3D map visualization.
What it does
- Search for places using natural language queries
- Calculate routes and travel directions
- Retrieve elevation data for geographic locations
- Look up weather information for trip planning
- Visualize results on interactive 3D maps
- Ground AI responses with real-world geographic data
Best for
- Trip planning and travel applications
- Geographic data exploration and analysis
- Building location-aware AI assistants
- Developers integrating maps with LLMs
Highlights
- 3D map visualization included
- Grounding Lite integration with Gemini API
- Real-time geographic data access
FAQ
- What is the Google Maps MCP server?
- Google Maps is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Google Maps?
- This profile displays 62 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★62 reviews- ★★★★★Ava Anderson· Dec 28, 2024
We evaluated Google Maps against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Shikha Mishra· Dec 16, 2024
Google Maps is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Isabella Martinez· Dec 4, 2024
Google Maps has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Nikhil Thomas· Nov 23, 2024
According to our notes, Google Maps benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Layla Tandon· Nov 19, 2024
We wired Google Maps into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yuki Abebe· Nov 15, 2024
We evaluated Google Maps against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Nikhil Li· Oct 14, 2024
We wired Google Maps into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★William Martinez· Oct 10, 2024
According to our notes, Google Maps benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Li Agarwal· Oct 6, 2024
Google Maps has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sakura Yang· Sep 25, 2024
Google Maps is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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